


#include "yolodef.h"
#include "parser.h"
#include "data.h"
#include "image.h"

void train_tag(char* cfgfile, char* weightfile, int clear)
{
    srand(time(0));
    float avg_loss = -1;
    char* base = basecfg(cfgfile);
    char* backup_directory = "backup/";
    printf("%s\n", base);
    network net = parse_network_cfg(cfgfile);
    if (weightfile)
        load_weights(&net, weightfile);
    if (clear)
        *net.seen = 0;
    printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
    int imgs = 1024;
    list* plist = get_paths("tag/train.list");
    char** paths = (char**)list_to_array(plist);
    printf("%d\n", plist->size);
    int N = plist->size;
    clock_t time;
    pthread_t load_thread;
    data train;
    data buffer;
    load_args args = {0};
    args.w = net.w;
    args.h = net.h;
    args.min = net.w;
    args.max = net.max_crop;
    args.size = net.w;
    args.paths = paths;
    args.classes = net.outputs;
    args.n = imgs;
    args.m = N;
    args.d = &buffer;
    args.type = TAG_DATA;
    args.angle = net.angle;
    args.exposure = net.exposure;
    args.saturation = net.saturation;
    args.hue = net.hue;
    fprintf(stderr, "%d classes\n", net.outputs);
    load_thread = load_data_in_thread(args);
    int epoch = (*net.seen) / N;
    while (get_current_batch(net) < net.max_batches || net.max_batches == 0)
    {
        time = clock();
        pthread_join(load_thread, 0);
        train = buffer;
        load_thread = load_data_in_thread(args);
        printf("Loaded: %lf seconds\n", sec(clock() - time));
        time = clock();
        float loss = train_network(net, train);
        if (avg_loss == -1)
            avg_loss = loss;
        avg_loss = avg_loss * .9 + loss * .1;
        printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)(*net.seen) / N, loss, avg_loss, get_current_rate(net), sec(clock() - time), *net.seen);
        free_data(train);
        if (*net.seen / N > epoch)
        {
            epoch = *net.seen / N;
            char buff[256];
            sprintf(buff, "%s/%s_%d.mo", backup_directory, base, epoch);
            save_weights(net, buff);
        }
        if (get_current_batch(net) % 100 == 0)
        {
            char buff[256];
            sprintf(buff, "%s/%s.backup", backup_directory, base);
            save_weights(net, buff);
        }
    }
    char buff[256];
    sprintf(buff, "%s/%s.mo", backup_directory, base);
    save_weights(net, buff);
    pthread_join(load_thread, 0);
    free_data(buffer);
    free_network(net);
    free_ptrs((void**)paths, plist->size);
    free_list(plist);
    free(base);
}

void test_tag(char* cfgfile, char* weightfile, char* filename)
{
    network net = parse_network_cfg(cfgfile);
    if (weightfile)
        load_weights(&net, weightfile);
    set_batch_network(&net, 1);
    srand(2222222);
    int i = 0;
    char** names = get_labels("data/tags.txt");
    clock_t time;
    int indexes[10];
    char buff[256];
    char* input = buff;
    int size = net.w;
    while (1)
    {
        if (filename)
            strncpy(input, filename, 256);
        else
        {
            printf("Enter Image Path: ");
            fflush(stdout);
            input = fgets(input, 256, stdin);
            if (!input)
                return;
            strtok(input, "\n");
        }
        image im = load_image_color(input, 0, 0);
        image r = resize_min(im, size);
        resize_network(&net, r.w, r.h);
        printf("%d %d\n", r.w, r.h);
        float* X = r.data;
        time = clock();
        float* predictions = network_predict(net, X);
        top_predictions(net, 10, indexes);
        printf("%s: Predicted in %f seconds.\n", input, sec(clock() - time));
        for (i = 0; i < 10; ++i)
        {
            int index = indexes[i];
            printf("%.1f%%: %s\n", predictions[index] * 100, names[index]);
        }
        if (r.data != im.data)
            free_image(r);
        free_image(im);
        if (filename)
            break;
    }
}


void run_tag(int argc, char** argv)
{
    if (argc < 4)
    {
        fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
        return;
    }
    int clear = find_arg(argc, argv, "-clear");
    char* cfg = argv[3];
    char* weights = (argc > 4) ? argv[4] : 0;
    char* filename = (argc > 5) ? argv[5] : 0;
    if (0 == strcmp(argv[2], "train"))
        train_tag(cfg, weights, clear);
    else if (0 == strcmp(argv[2], "test"))
        test_tag(cfg, weights, filename);
}
